As to the power control protocol, in the CPC protocol each node uses the maximum transmit power choosed by all network nodes;the communication consumption of IPC protocol is smaller, but each node is using its own def...
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ISBN:
(纸本)9783037856598
As to the power control protocol, in the CPC protocol each node uses the maximum transmit power choosed by all network nodes;the communication consumption of IPC protocol is smaller, but each node is using its own definition of transmission power, two-way link between nodes in the network can not be guaranteed. The sent power control based on data transmission can resolve the defaults of CPC and IPC.
To solve climbing robot path planning in spatial trusses with detecting points, a hierarchical algorithm is proposed according to the divide-and-conquer strategy. Path planning problem with large-scale detecting point...
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ISBN:
(纸本)9781538639955
To solve climbing robot path planning in spatial trusses with detecting points, a hierarchical algorithm is proposed according to the divide-and-conquer strategy. Path planning problem with large-scale detecting points is decomposed into a number of path planning sub-problems with small-scale detecting points by Density Peaks Clustering algorithm(DPC), and then all sub-problems with small-scale detecting points are resolved by ant colony optimization algorithm(ACO). At last, all the paths obtained from each sub-problem are merged, and local path is optimized by 2-Opt and 3-Opt algorithms. The hierarchical algorithm is tested on 5 different instances. Experimental results show that the proposed algorithm has the same accuracy and computational complexity can be decreased n squared compared with ACO algorithm. The efficiency has been significantly improved.
In this work we present a study on the application of bio-inspired strategies for optimization to Fault Diagnosis in industrial systems. The principal aim is to establish a basis for the development of new and viable ...
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ISBN:
(纸本)9781424481262
In this work we present a study on the application of bio-inspired strategies for optimization to Fault Diagnosis in industrial systems. The principal aim is to establish a basis for the development of new and viable model-based Fault Diagnosis Methods which improve some difficulties that the current methods cannot avoid. These difficulties are related with fault sensitivity and robustness to external disturbances. To get start the study, we consider the Differential Evolution and the ant colony optimization algorithms. This application is illustrated using simulation data of the Two Tanks System benchmark. In order to analyze the merits of these algorithms to obtain a diagnosis which needs to be sensitive to faults and robust to external disturbances, some experiments with incipient faults and noisy data have been simulated. The results indicate that the proposed approach, basically the combination of the two algorithms, characterizes a promising methodology for Fault Diagnosis.
ant colony optimization algorithm, which is based on bionics, has been successfully used in many fields, especially on combinatorial optimization problems. While many parameters need to be adjusted in its application,...
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ISBN:
(纸本)1424403316
ant colony optimization algorithm, which is based on bionics, has been successfully used in many fields, especially on combinatorial optimization problems. While many parameters need to be adjusted in its application, it is inconvenient for rookies. A novel ant colony optimization algorithm based on real time model is proposed and its proof of convergence is given. It is supposed that each ant's velocity is the same and all ants are crawling in full time. ants communicate with others by the pheromone that is left on the road. After some time the ants trail will be on the optimal route between the food and the nest. It is testified by the experiment that the novel algorithm is as well as other antcolonyalgorithm and it is simpler to justify the parameters than before.
Chord is a popular and successful topology for P2P data sharing. However, the conventional chord has an obvious drawback - it fails to consider the physical topology of the P2P network for designing the lookup solutio...
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ISBN:
(纸本)9781479938445
Chord is a popular and successful topology for P2P data sharing. However, the conventional chord has an obvious drawback - it fails to consider the physical topology of the P2P network for designing the lookup solution, which may bring tremendous delay to network routing. In order to address the drawback and further speeds up searching for local resources, we propose an improved chord based on the ant colony optimization algorithm and Bi-directional lookup routing method in this paper. We first apply the ant colony optimization algorithm for building the chord ring to match the topology between the overlay network and physical network. We then develop a bi-directional lookup routing mechanism to further speed up searching for local resources. Simulation results show that our improved chord scheme is significantly more efficient than the conventional chord method.
Because of the drift which exists in sequence image of prostate DWI (Diffusion Weighted Imaging), the global antcolonyalgorithm is introduced into the paper for registration optimization. The paper introduces an ant...
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ISBN:
(纸本)9783038353140
Because of the drift which exists in sequence image of prostate DWI (Diffusion Weighted Imaging), the global antcolonyalgorithm is introduced into the paper for registration optimization. The paper introduces an antcolonyalgorithm for continuous function optimization, based on max-min ant system (MMAS). This paper controls the transition probabilities and enhances the abilities of ants seeking globally optimal solutions by adding an adjustable factor in the basic antcolonyalgorithm and updating the local pheromone and global pheromone. Experimental results verify the effectiveness of the algorithm.
To cope with increasingly serious three-phase disequilibrium in distribution network, a reconfiguration model is proposed for distribution network with the optimization objective of reducing three-phase disequilibrium...
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ISBN:
(纸本)9781467390682
To cope with increasingly serious three-phase disequilibrium in distribution network, a reconfiguration model is proposed for distribution network with the optimization objective of reducing three-phase disequilibrium. First by analyzing the distribution network in topology, the distribution network reconfiguration problem is converted into a problem of constructing spanning tree of the graph, which is solved by breaking-cycle-basis method. Then by selecting the first-branch randomly and canceling the heuristic value of network, an improved ant colony optimization algorithm is proposed to solve the reconfiguration problem, which can expand the search extent and avoid search stagnation. Specific examples of verification prove that the proposed algorithm can obtain the global best solution with less computation time and higher probability compared to the conventional methods.
To solve the scheduling problem of workflow tasks in cloud computing, this paper combined the improved fuzzy c-means clustering algorithm (IFCM) and the improved ant colony optimization algorithm (IACO) and proposed a...
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ISBN:
(纸本)9783030000097;9783030000080
To solve the scheduling problem of workflow tasks in cloud computing, this paper combined the improved fuzzy c-means clustering algorithm (IFCM) and the improved ant colony optimization algorithm (IACO) and proposed a new workflow task scheduling algorithm. Firstly, the proposed algorithm used the IFCM to classify resources. Then, tasks will be sorted by their priority. Based on the results of resource clustering and the distance between resources and expect of tasks, tasks will be assigned to the appropriate resources and the scheduling will be initialized. After that, the workflow tasks will be encoded based on the initial scheduling. At last, ant colony optimization algorithm will be improved by the cross and mutation operation in genetic algorithm and used to search optimal schedules. The experiments showed that the proposed algorithm could quickly and efficiently find appropriate scheduling scheme, effectively reduce the time span of workflow tasks and increase the utilization of resources.
The objective of design optimization of pressure vessels is cost reduction by reducing weight with adequate strength and stiffness. optimization is the act of obtaining the best result under given circumstances. Conve...
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ISBN:
(纸本)9783037859339
The objective of design optimization of pressure vessels is cost reduction by reducing weight with adequate strength and stiffness. optimization is the act of obtaining the best result under given circumstances. Conventional design aims at finding acceptability design which merely satisfies the functional and other requirements of the problem. In general, there will be more than one acceptable designs and the purpose of design optimization is to choose the best. In the present work parameters such as thickness of the shell, and dish end, length and radius of the pressure vessel are optimized by making use of ACO has been shown for a Pressure vessel problem with four variables and four design constraints. It is found that the results obtained from ACO are better as its search is for global optimum as against the local optimum in traditional search methods. The results of the ACO have been checked using ANSYS, and it is found to perform satisfactorily.
Hybrid intelligent schemes have proven their efficiency in solving NP-hard optimization problems. Portfolio optimization refers to the problem of finding the optimal combination of assets and their corresponding weigh...
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ISBN:
(纸本)9783642128417
Hybrid intelligent schemes have proven their efficiency in solving NP-hard optimization problems. Portfolio optimization refers to the problem of finding the optimal combination of assets and their corresponding weights which satisfies a specific investment goal and various constraints. In this study, a hybrid intelligent metaheuristic, which combines the ant colony optimization algorithm and the Firefly algorithm, is proposed in tackling a complex formulation of the portfolio management problem. The objective function under consideration is the maximization of a financial ratio which combines factors of risk and return. At the same time, a hard constraint, which refers to the tracking ability of the constructed portfolio towards a benchmark stock index, is imposed. The aim of this computational study is twofold. Firstly, the efficiency of the hybrid scheme is highlighted. Secondly, comparison results between alternative mechanisms, which are incorporated in the main function of the hybrid scheme, are presented.
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